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Field
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of hybrid quantum-classical modelling approaches that support improved analysis, simulation, optimisation, and decision making under uncertainty. The role will suit a researcher with strong technical
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
experience corresponding to mathematics through differential equations, a microbiology background including environmental microbiology, and experience with quantitative analysis of environmental and/or human
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
experience corresponding to mathematics through differential equations, a microbiology background including environmental microbiology, and experience with quantitative analysis of environmental and/or human
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
experience corresponding to mathematics through differential equations, a microbiology background including environmental microbiology, and experience with quantitative analysis of environmental and/or human
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. The activity of the IMAGES team of the IDS department in LTCI covers many aspects of the processing, analysis and synthesis of digital images, volumes, and videos. A particularity of the team’s work is
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of hybrid quantum–classical modelling approaches that support improved analysis, simulation, optimisation, and decision making under uncertainty. The role will suit a researcher with strong technical
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. This position is not eligible for H-1B visa sponsorship. In this position the research will focus on lab studies and analysis of iron oxide reduction with H2 (and ammonia) The goal is to develop a fully
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Drosophila melanogaster . The ideal candidate is an excellent troubleshooter, with rigorous mathematical and data analysis skills, a proven ability to work independently, and a collaborative mindset. They will
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, data analysis, literature research, article writing, and contributing to the acquisition of funding. We ask you to become independent by taking initiative and developing your own creative ideas. You will
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models, with an emphasis on techniques such as knowledge distillation. The candidate will engage in research involving time-series analysis, including modeling, forecasting, and anomaly detection